randomized-controlled-trial

Design randomized controlled trials with PICO, randomization, and analysis plans.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/sencersoylu/scholar-flow --skill randomized-controlled-trial
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: randomized-controlled-trial
Source: https://github.com/sencersoylu/scholar-flow/tree/main/skills/methodology/randomized-controlled-trial
Command: npx skills add https://github.com/sencersoylu/scholar-flow --skill randomized-controlled-trial

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This protocol provides a comprehensive blueprint to design, conduct, and report randomized controlled trials with rigor, ensuring methodological transparency and regulatory compliance.

Core Features & Use Cases

  • Covers PICO construction, trial design types (superiority, non-inferiority, equivalence), blinding strategies, sample size calculations, and randomization schemes.
  • Includes planning for outcomes, data collection, SAP, registration, and ethical approvals to streamline trial execution and reporting.
  • Use Case: A medical team designs a new intervention and uses this protocol to register the trial, pre-specify outcomes, and plan analysis before enrollment.

Quick Start

Draft a complete randomized controlled trial protocol for a hypothetical intervention, including PICO, design type, sample size, randomization, blinding, outcomes, and analysis plan.

Frequently Asked Questions about randomized-controlled-trial

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a randomized controlled trial protocol for a medical intervention?

To design a randomized controlled trial protocol, define the PICO criteria, select a trial design type, calculate the appropriate sample size, and establish randomization and blinding schemes. This ensures methodological transparency and regulatory compliance from execution to reporting.

What is the best way to calculate sample size and set up randomization for clinical trials?

Calculating sample size and setting up randomization for clinical trials requires predefining your trial design type and planned outcomes. Using a structured protocol ensures your randomization schemes and sample size calculations align with the predefined statistical analysis plan.

How does blinding work in a randomized controlled trial design?

Blinding in a randomized controlled trial design conceals intervention allocation from participants, investigators, or outcome assessors. A structured protocol helps pre-specify blinding strategies alongside randomization schemes to minimize bias during execution and reporting.

Can I use this protocol for non-inferiority and equivalence trial designs?

Yes, you can use this protocol for non-inferiority and equivalence trial designs, as well as superiority trials. It guides PICO construction, sample size calculations, and outcome definitions tailored to your specific trial design type and analysis plan.

Do I need to follow CONSORT reporting guidelines when documenting a clinical trial?

Yes, following CONSORT reporting guidelines is essential for documenting a clinical trial. The protocol provides a CONSORT-aligned reporting blueprint covering registration, ethical approvals, data collection, and predefined outcomes to ensure regulatory compliance.

What limitations exist when using a predefined RCT protocol for health intervention trials?

A predefined RCT protocol is limited to medical and health intervention trials and relies on strict adherence to pre-specified outcomes, sample sizes, and statistical analysis plans. Deviating from predefined criteria during execution compromises methodological transparency and regulatory compliance.